October 10, 2013
Tuesday, October 22, 2013: 3:30 PM – 5:00 PM
Key Ballroom 8,11,12 (Hilton Baltimore)
Decision analytic and population simulation models are relevant to numerous government agencies to guide policy decisions, forecast future spending, and evaluate existing programs. These models tend to focus on overall costs, revenues and budget limits. Academic investigators who study medical decisions often construct models that account for the natural history of disease and the effects of treatment, typically for the purposes of evaluating the cost effectiveness of specific interventions. However, these models tend to ignore budget constraints faced by policymakers. This symposium will convene panelists from government agencies and academia to discuss the similarities, differences and potential synergies of their modeling methods.
Symposium Chairs:
- Elbert S. Huang, MD, MPH, FACP, Associate Professor of Medicine, University of Chicago
- Negin Hajizadeh,MD, MPH, Instructor, New YorkUniversitySchool of Medicine
Confirmed speakers:
- Chapin White, PhD, Center for Health System Change for Modeling of Healthcare Policy in the Congressional Budget Office
- Joseph Chin, MD, MS, Centers for Medicare & Medicaid Services, Center for Clinical Standards and Quality, Coverage and Analysis Group for Modeling of Healthcare Policy at the Center for Medicare and Medicaid Services
- Bill Lawrence, MD, MS, Agency for Healthcare Research and Quality for Modeling of Medical Decisions and Health Policy at the Agency for Healthcare Research and Quality
- Andrew H Briggs, DPhil, University of Glasgow